Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Kartēšana pēc nezāļu blīvuma× | Slāpekļa izmantošanas efektivitāte× | |
|---|---|---|
| Nozare | Agronomija | Agronomija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 2003 | 2005 |
| Autors≠ | Roland Gerhards, Søren Christensen | Adrian Dobermann, Kenneth G. Cassman |
| Tips≠ | Spatial survey pipeline | Analytical pipeline |
| Pirmavots≠ | Gerhards, R., & Christensen, S. (2003). Real-time weed detection, decision making and patch spraying in maize, sugarbeet, winter wheat and winter barley. Weed Research, 43(6), 385-392. DOI ↗ | Dobermann, A., & Cassman, K. G. (2005). Nitrogen use efficiency in cereals: mechanisms and genetic improvements. In Managing soil quality and crop productivity in intensive agriculture (pp. 15-40). CRC Press. link ↗ |
| Citi nosaukumi | Weed mapping, Spatial weed survey, Weed sampling | NUE analysis, Nitrogen recovery efficiency, N balance assessment |
| Saistītās | 5 | 5 |
| Kopsavilkums≠ | Weed Density Mapping is a spatial survey pipeline for measuring and mapping weed distributions across fields to support targeted herbicide application and management decisions. Developed by Gerhards, Christensen, and others in precision agriculture (2000s), this method combines field sampling or remote sensing with geostatistics to create weed pressure maps, enabling variable-rate control strategies. | Nitrogen Use Efficiency (NUE) assessment and optimization is an analytical pipeline for evaluating how effectively crops convert applied nitrogen fertilizer into grain, biomass, or economic output. Developed by agronomic researchers (Dobermann, Raun) in the 2000s, this method quantifies nitrogen losses and identifies management practices to improve both crop productivity and environmental sustainability. |
| ScholarGateDatu kopa ↗ |
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